Research on Automatic Generation of Cylindrical Panoramic Image Complimented with Background-Method of Removing Movable Objects by Extracting its Area-

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Other Title
  • 背景補完した全周パノラマ画像の自動生成に関する研究―領域抽出による移動体除去方法―
  • ハイケイ ホカン シタ ゼン シュウ パノラマ ガゾウ ノ ジドウ セイセイ ニ カンスル ケンキュウ リョウイキ チュウシュツ ニ ヨル イドウタイ ジョキョ ホウホウ
  • -Method of Removing Movable Objects by Extracting its Area-
  • -領域抽出による移動体除去方法-

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Abstract

In recent years, with the spread of digital cameras and development of the image processing technology, it has become possible to take a panoramic photograph with ease. Especially, since a 360-degree panorama image has eminent qualities in representing periphery environments from the camera point of view, it has a high affinity in urban town guide systems as well 3D demonstrations. With the advent of panorama viewing systems such as Google Street View, the sphere of utilization of this technology has gone dramatically expanded. Therefore, the using range dramatically expands with spreading panorama view system like Google Street View. However, it is unnecessary information to grasp the surrounding situations if the panoramic image for services used by many people contains people or vehicles having nothing to do with, and unfavorable to protect privacy. Therefore, this study proposes a method of generating a 360-degree (whole circumference) panoramic image complemented with the movable objects in the background, by identifying the area of any movable objects from the digital photographic image shot freehand with a digital camera. First, characteristic points are generated on each frame of the moving image. Next, using these characteristic points, the corresponding points between the images are obtained and aligned with each other so that they overlap with the base photographic image. Then, the movable object area is identified from the corrected image sequence. Finally, a 360-degree panoramic image with the movable object area complemented in the background is generated by projecting the image on the cylinder surface while complementing the movable object area of the image from which the movable objects are extracted. Thus the validity of the proposed method and the usability of 360-degree panoramic images are verified.

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